Careers at ENDGAME

We're always looking for talented individuals who are passionate about creating innovative gaming experiences. The positions offer a unique opportunity to drive advancements in the development of cutting-edge AI gaming technologies in a collaborative and innovative environment.

Join our team and help shape the future of gaming!

Open Positions

AI Vision Understanding

San Francisco, CA or Remote  |  Full Time
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We're looking for an expert in visual AI systems to join our cutting-edge research team. The ideal candidate will bring expertise in computer vision algorithms and deep learning architectures to advance our gaming technology.

Key Responsibilities:

  • Develop innovative multimodal vision systems for gaming applications
  • Research advanced sentiment analysis techniques using visual inputs
  • Lead initiatives in visual representation learning and model optimization
  • Collaborate on creating high-quality training datasets for vision models

Qualifications:

  • PhD or equivalent experience in computer science, AI, or related field
  • 3+ years working with deep learning for visual understanding
  • Experience with multimodal systems combining vision and language
  • Demonstrated ability to innovate and collaborate in fast-paced environments

Preferred Qualifications:

  • Experience with large-scale distributed training systems
  • Strong programming skills, particularly in Python and deep learning frameworks
  • Background in gaming applications of computer vision technology

Applied LLM Engineer

San Francisco, CA or Remote  |  Full Time
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Join our AI team to help build next-generation language technologies for interactive gaming experiences. You'll be responsible for evaluating and optimizing language models that power character interactions and narrative elements.

Key Responsibilities:

  • Implement comprehensive evaluation frameworks for language model performance
  • Design and maintain automated testing pipelines for model quality assurance
  • Analyze model outputs using various evaluation methodologies including human feedback
  • Develop visualization tools to communicate complex performance metrics to stakeholders

Qualifications:

  • Advanced degree in computer science, computational linguistics, or related field
  • Strong programming skills in Python and experience with ML frameworks
  • Demonstrated experience with language model evaluation and optimization
  • Ability to solve complex problems independently and collaboratively

Preferred Qualifications:

  • Experience in gaming or interactive entertainment applications
  • Background in developing evaluation metrics for generative AI systems
  • Familiarity with large-scale data processing and analysis
  • Publications or patents in relevant AI fields

Creative Video Generation

San Francisco, CA or Remote  |  Full Time
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We're seeking an innovative AI engineer to advance our video generation capabilities. You'll work on developing systems that can create dynamic, high-quality video content for gaming applications using cutting-edge generative models.

Key Responsibilities:

  • Research and implement state-of-the-art video generation algorithms
  • Develop efficient data representation techniques for video synthesis
  • Create systems for text-to-video and image-to-video transformation
  • Build personalization features for user-specific content generation

Qualifications:

  • PhD or equivalent experience in computer vision, machine learning, or related field
  • 3+ years working with generative models for visual content
  • Strong understanding of diffusion models, transformers, and other generative architectures
  • Experience with large-scale model training and optimization

Preferred Qualifications:

  • Experience with video processing at scale
  • Knowledge of game engine integration for real-time content generation
  • Background in computational creativity or procedural content generation

LLM Post Training

San Francisco, CA or Remote  |  Full Time
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Join our team to focus on refining and specializing large AI models for gaming applications. You'll work on techniques to make our models more responsive, creative, and aligned with gaming contexts.

Key Responsibilities:

  • Develop advanced fine-tuning methodologies for large language models
  • Implement reinforcement learning techniques to improve model behavior
  • Create specialized training datasets for gaming-specific applications
  • Research novel approaches to model alignment and instruction following

Qualifications:

  • Advanced degree in AI, machine learning, or related technical field
  • Experience with model fine-tuning and optimization techniques
  • Strong understanding of reinforcement learning from human feedback
  • Excellent programming skills and familiarity with deep learning frameworks

Preferred Qualifications:

  • Background in gaming AI or interactive narrative systems
  • Experience with advanced optimization algorithms
  • Proven experience in transitioning research prototypes into production-ready solutions
  • Knowledge of efficient inference techniques for large models